[{"data":1,"prerenderedAt":1083},["ShallowReactive",2],{"uc-hub-pattern-prediction-and-scoring":3},{"type":4,"typeLabel":5,"term":6,"includeUnpublished":10,"indexable":11,"stats":12,"useCases":24,"benchmarks":926,"topIndustries":1011,"topFunctions":1030,"topPatterns":1050,"stageMix":1051,"regionMix":1066,"organizations":1082,"other":101},"pattern","AI pattern",{"id":7,"label":8,"description":9},"prediction-and-scoring","Prediction and scoring","Machine learning models that estimate a probability or value, such as credit risk, churn or propensity to buy.",false,true,{"useCases":13,"publicDeployments":14,"blitsAiDeployments":15,"organizations":16,"countries":17,"outcomeDisclosureRate":18,"gradeMix":19},58,218,12,195,27,60,{"A":20,"B":21,"C":22,"D":23},0,111,105,2,[25,62,83,103,123,144,167,184,200,215,238,259,275,289,301,319,338,352,363,376,389,411,431,447,464,485,505,517,529,546,559,571,583,594,609,625,641,655,667,679,691,708,720,732,749,763,779,790,802,815,827,839,852,862,876,888,900,910],{"slug":26,"title":27,"shortTitle":28,"definition":29,"status":30,"industries":31,"functions":33,"patterns":36,"audience":40,"autonomy":41,"adoptionStage":42,"segment":43,"evidenceCount":44,"publicEvidenceCount":44,"organizations":45,"bestGrade":51,"headline":52,"lastVerified":61,"indexable":11},"autonomous-network-operations","Agentic AI for autonomous, intent based network operations","Autonomous network operations","AI agents that run closed loops over a telecom network: they take an intent from the operator (for example a latency or availability target for a service), observe the network, diagnose deviations and execute corrective actions across radio, transport and core, within guardrails set by engineers and with human approval for major changes.","published",[32],"telecommunications",[34,35],"network-operations","it-and-engineering",[37,38,7,39],"agentic-workflow","anomaly-detection","classification-and-routing","back-office","supervised-agent","emerging","network",6,[46,47,48,49,50],"Deutsche Telekom","du","KDDI","stc Group","Telstra","B",{"kpi":53,"label":54,"unit":55,"n":56,"nUpTo":20,"kind":57,"value":58,"qualifier":59,"claimant":60,"organization":46,"vendorReported":10},"processing-time-reduction","Cycle time reduction","percent",1,"reported",95,"at-least","organization","2026-09-26",{"slug":63,"title":64,"shortTitle":65,"definition":66,"status":30,"industries":67,"functions":70,"patterns":71,"audience":72,"autonomy":41,"adoptionStage":73,"evidenceCount":23,"publicEvidenceCount":23,"organizations":74,"bestGrade":77,"headline":78,"lastVerified":82,"indexable":11},"cloud-cost-optimization-agent","AI agent for cloud cost optimization and FinOps","Cloud cost optimization agent","An AI agent that continuously reads an organization's cloud usage and billing data, uses machine learning to separate normal spend from waste, and either rightsizes resources and buys a mix of committed capacity matched to forecast usage on its own within set limits, or proposes higher risk changes for an engineer to approve.",[68,69],"cross-industry","technology",[35],[38,7,37],"employee-facing","early-adopters",[75,76],"Akamai Technologies","VERMEG","C",{"kpi":79,"label":80,"unit":55,"n":56,"nUpTo":20,"kind":57,"value":81,"qualifier":59,"claimant":60,"organization":75,"vendorReported":10},"cost-reduction","Cost reduction",40,"2026-09-28",{"slug":84,"title":85,"shortTitle":86,"definition":87,"status":30,"industries":88,"functions":91,"patterns":94,"audience":72,"autonomy":41,"adoptionStage":73,"segment":96,"evidenceCount":97,"publicEvidenceCount":23,"organizations":98,"bestGrade":77,"headline":101,"lastVerified":102,"indexable":11},"fraud-alert-triage","AI agent for fraud alert triage","Fraud alert triage","An AI agent that works the fraud alert queue behind the scenes as the analyst's first pass, without contacting the customer: it enriches each alert with customer, device and payment context, closes clear false positives under documented rules, merges duplicates, and routes genuine risk to an analyst with a drafted rationale.",[89,90],"banking","payments",[92,93],"fraud-prevention","operations",[37,39,95,7],"summarization","middle-office",3,[99,100],"Coast","SEB",null,"2026-09-27",{"slug":104,"title":105,"shortTitle":106,"definition":107,"status":30,"industries":108,"functions":110,"patterns":111,"audience":72,"autonomy":41,"adoptionStage":73,"segment":114,"evidenceCount":97,"publicEvidenceCount":97,"organizations":115,"bestGrade":51,"headline":119,"lastVerified":82,"indexable":11},"freight-dispatch-and-load-matching-agent","AI agent for freight dispatch and load matching","Freight dispatch and load matching","An AI agent that does the coordination work behind moving a truckload: reading an emailed quote request and replying with a price, ranking which loads to show which carriers, matching pickup and delivery details to an open dock appointment slot, and chasing the exceptions, so a broker's or carrier's own staff plan lanes and handle disputes instead of typing quotes and making appointment calls.",[109],"logistics-and-transportation",[93],[37,112,113,7],"recommendation-and-personalization","document-processing","freight-brokerage",[116,117,118],"C.H. Robinson","J.B. Hunt Transport Services","Uber Freight",{"kpi":120,"label":121,"unit":55,"n":56,"nUpTo":20,"kind":57,"value":15,"qualifier":122,"claimant":60,"organization":118,"vendorReported":10},"conversion-rate-uplift","Conversion uplift","exact",{"slug":124,"title":125,"shortTitle":126,"definition":127,"status":30,"industries":128,"functions":131,"patterns":133,"audience":136,"autonomy":41,"adoptionStage":73,"evidenceCount":137,"publicEvidenceCount":138,"organizations":139,"bestGrade":51,"headline":101,"lastVerified":61,"indexable":11},"outbound-reminder-and-confirmation-agent","AI agent for outbound reminders and confirmations by voice and messaging","Outbound reminders and confirmations","An AI agent that contacts customers about something they already booked or ordered (an appointment, a delivery, a reservation or a service visit) to remind them, confirm attendance and let them cancel or move it in the same conversation, by phone, SMS, WhatsApp or email. It is operational service outreach, not marketing: nothing is sold, and success is measured in kept appointments and reused slots, not in conversion.",[68,129,130],"healthcare","government",[132,93],"customer-service",[134,135,37,7],"voice-agent","conversational-agent","customer-facing",5,4,[140,141,142,143],"Sheffield Children's NHS Foundation Trust","University Hospitals Coventry and Warwickshire NHS Trust","U.S. Department of Veterans Affairs","WellSpan Health",{"slug":145,"title":146,"shortTitle":147,"definition":148,"status":30,"industries":149,"functions":151,"patterns":154,"audience":72,"autonomy":156,"adoptionStage":73,"evidenceCount":157,"publicEvidenceCount":158,"organizations":159,"bestGrade":77,"headline":101,"lastVerified":102,"indexable":11},"outbound-sales-prospecting-agent","AI agent for outbound sales prospecting and personalized outreach","Outbound sales prospecting","An AI agent that researches target accounts and contacts, drafts personalized outbound outreach (emails, LinkedIn messages and call scripts) from the campaign, the prospect's context and the sales goals, and sequences the follow ups, with a sales development rep approving or sending every message.",[68,69,150],"professional-services",[152,153],"sales","marketing",[155,37,112,7],"content-generation","copilot",9,7,[160,161,162,163,164,165,166],"A-LIGN","ANS","Dun & Bradstreet","Lumen Technologies","Merge","Oyster","Unifonic",{"slug":168,"title":169,"shortTitle":170,"definition":171,"status":30,"industries":172,"functions":173,"patterns":174,"audience":136,"autonomy":41,"adoptionStage":73,"evidenceCount":157,"publicEvidenceCount":44,"organizations":175,"bestGrade":51,"headline":179,"lastVerified":102,"indexable":11},"patient-appointment-scheduling-and-reminders-agent","AI agent for patient appointment scheduling, reminders and no show reduction","Patient scheduling and reminders","An AI agent that books, moves and cancels patient appointments by phone and messaging while following the provider's scheduling rules (referral, triage level, clinician and visit type, preparation), confirms and reminds patients in two way conversations, predicts who is likely to miss an appointment, and offers freed slots to patients on the waiting list. Unlike a general branch and appointment booking agent, it writes into the electronic health record and must respect clinical constraints, so anything clinical goes to staff.",[129],[132,93],[134,135,7,37],[176,177,178,140,141,143],"Audibel","Howard Brown Health","Mid and South Essex NHS Foundation Trust",{"kpi":180,"label":181,"unit":55,"n":56,"nUpTo":20,"kind":57,"value":182,"qualifier":122,"claimant":183,"organization":177,"vendorReported":11},"containment-rate","Containment rate",30,"vendor",{"slug":185,"title":186,"shortTitle":187,"definition":188,"status":30,"industries":189,"functions":190,"patterns":191,"audience":136,"autonomy":192,"adoptionStage":193,"segment":194,"evidenceCount":195,"publicEvidenceCount":97,"organizations":196,"bestGrade":51,"headline":101,"lastVerified":102,"indexable":11},"offers-and-rewards-agent","AI agent for personalized offers and rewards","Offers and rewards","A customer facing AI agent for banks and card issuers that picks the offer, reward or loyalty action most relevant to each customer at each moment from their transactions and context, delivers it in the app, in messaging or through a colleague, and helps the customer understand, track and redeem rewards in conversation. Unlike campaign personalization, it works inside the customer's own account and loyalty relationship, one moment at a time.",[89,90],[153,152,132],[112,7,135],"autonomous","mainstream","front-office",8,[197,198,199],"Bank of America","Commonwealth Bank of Australia","DBS Bank",{"slug":201,"title":202,"shortTitle":203,"definition":204,"status":30,"industries":205,"functions":207,"patterns":209,"audience":40,"autonomy":210,"adoptionStage":73,"segment":211,"evidenceCount":23,"publicEvidenceCount":23,"organizations":212,"bestGrade":77,"headline":101,"lastVerified":82,"indexable":11},"smart-meter-analytics","AI analytics for smart meter and AMI data","Smart meter analytics","AI that turns the flood of readings from smart electricity, gas and water meters into usable information: it monitors meter and network health at scale, estimates which appliances drive a household's usage from the meter signal alone, flags unusual consumption, and targets efficiency and electrification programmes at the customers who will benefit most, instead of a utility treating every meter and every customer the same way.",[206],"energy-and-utilities",[93,208],"analytics-and-reporting",[38,7],"assist","metering-and-billing",[213,214],"Consolidated Edison (Con Edison)","Southern California Gas Company (SoCalGas)",{"slug":216,"title":217,"shortTitle":218,"definition":219,"status":30,"industries":220,"functions":223,"patterns":226,"audience":72,"autonomy":156,"adoptionStage":73,"segment":194,"evidenceCount":137,"publicEvidenceCount":138,"organizations":228,"bestGrade":51,"headline":233,"lastVerified":102,"indexable":11},"deal-sourcing-and-due-diligence-assistant","AI assistant for deal sourcing and M&A due diligence","Deal sourcing and due diligence","An AI assistant that screens the market for acquisition or investment targets, builds company profiles, and speeds up due diligence by reading data room documents, extracting key terms and risks and drafting the investment or diligence memo, for the deal team to verify and decide.",[221,222,150],"capital-markets","wealth-and-asset-management",[208,224,225],"legal","risk-management",[113,95,227,37,7],"rag-knowledge-assistant",[229,230,231,232],"Datasite","EQT","Freshfields","Rogo",{"kpi":234,"label":235,"unit":55,"n":20,"nUpTo":56,"kind":57,"value":236,"qualifier":237,"claimant":183,"organization":229,"vendorReported":11},"productivity-gain","Productivity gain",80,"up-to",{"slug":239,"title":240,"shortTitle":241,"definition":242,"status":30,"industries":243,"functions":246,"patterns":249,"audience":72,"autonomy":210,"adoptionStage":73,"segment":250,"evidenceCount":137,"publicEvidenceCount":137,"organizations":251,"bestGrade":51,"headline":256,"lastVerified":102,"indexable":11},"treasury-cash-flow-forecasting","AI cash flow forecasting for corporate treasury","Treasury cash forecasting","Machine learning and conversational analytics, offered by some banks inside their cash management platforms, that categorise a company's cash flows, forecast positions across accounts and currencies, and answer treasurers' questions in plain language, so the treasury team decides on funding and idle balances with better information and less spreadsheet work.",[89,68,109,244,245],"retail-and-ecommerce","manufacturing",[247,248,208],"treasury","finance-and-accounting",[7,39,135,37],"specialized-businesses",[252,197,253,254,255],"Amtrak","Domino's Pizza","JPMorgan Chase","Prysmian",{"kpi":234,"label":235,"unit":55,"n":23,"nUpTo":56,"kind":57,"value":257,"qualifier":258,"claimant":60,"organization":254,"vendorReported":10},90,"approximately",{"slug":260,"title":261,"shortTitle":262,"definition":263,"status":30,"industries":264,"functions":265,"patterns":268,"audience":40,"autonomy":41,"adoptionStage":73,"segment":269,"evidenceCount":138,"publicEvidenceCount":138,"organizations":270,"bestGrade":51,"headline":101,"lastVerified":61,"indexable":11},"sme-cash-flow-underwriting","AI cash flow underwriting for small business loans","SME cash flow underwriting","An underwriting engine that assesses a small business's repayment capacity from live bank transactions, point of sale and payment flows, receivables and accounting data instead of audited accounts, and returns a decision recommendation with the evidence and reasons behind it.",[89],[266,267,225],"lending-and-credit","underwriting",[7,113,37,135],"lending",[271,272,273,274],"MYbank","National Australia Bank","OakNorth Bank","Sumitomo Mitsui Banking Corporation",{"slug":276,"title":277,"shortTitle":278,"definition":279,"status":30,"industries":280,"functions":281,"patterns":282,"audience":72,"autonomy":210,"adoptionStage":73,"segment":283,"evidenceCount":23,"publicEvidenceCount":23,"organizations":284,"bestGrade":51,"headline":287,"lastVerified":82,"indexable":11},"hospital-bed-and-staff-capacity-command-center","AI command center for hospital bed and staff capacity planning","Hospital capacity command center","An AI powered operations center that predicts patient admissions, discharges and transfers across a hospital or health system, and helps a team of coordinators sitting in one room sequence real time bed assignments, staffing levels and patient moves, so patients get into the right bed faster and existing capacity is used fully without adding beds.",[129],[93,208],[7,39,38],"hospital operations",[285,286],"Humber River Health","Johns Hopkins Medicine",{"kpi":53,"label":54,"unit":55,"n":23,"nUpTo":20,"kind":57,"value":288,"qualifier":122,"claimant":60,"organization":286,"vendorReported":10},38,{"slug":290,"title":291,"shortTitle":292,"definition":293,"status":30,"industries":294,"functions":295,"patterns":297,"audience":72,"autonomy":156,"adoptionStage":42,"segment":43,"evidenceCount":23,"publicEvidenceCount":23,"organizations":298,"bestGrade":51,"headline":101,"lastVerified":102,"indexable":11},"field-technician-copilot-and-dispatch","AI copilot for field technicians and dispatch optimization","Field technician copilot and dispatch","AI that decides whether a fault needs a site visit at all, predicts what work and parts a job will need, helps plan and update appointments, and gives technicians on site guided diagnosis and instant answers from manuals and past jobs, so more jobs are fixed on the first visit.",[32],[296,93,132],"field-service",[7,227,135,39],[299,300],"nbn","Openreach",{"slug":302,"title":303,"shortTitle":304,"definition":305,"status":30,"industries":306,"functions":308,"patterns":310,"audience":72,"autonomy":41,"adoptionStage":73,"segment":311,"evidenceCount":23,"publicEvidenceCount":23,"organizations":312,"bestGrade":77,"headline":315,"lastVerified":82,"indexable":11},"hotel-revenue-management-copilot","AI copilot for hotel revenue management","Hotel revenue management copilot","An employee facing AI system that forecasts demand for a hotel or portfolio by date, room type and segment, recommends or automatically adjusts room prices and availability controls within limits a revenue manager sets, and scores group and event enquiries for true profitability, so a small revenue team can run pricing that used to need daily manual adjustment in the property management system.",[307],"travel-and-hospitality",[309,208],"product-and-pricing",[7,37],"revenue-management",[313,314],"Hôtel Swexan","RIMC Hotels & Resorts Group",{"kpi":316,"label":317,"unit":55,"n":23,"nUpTo":20,"kind":57,"value":318,"qualifier":122,"claimant":183,"organization":313,"vendorReported":11},"revenue-uplift","Revenue uplift",33,{"slug":320,"title":321,"shortTitle":322,"definition":323,"status":30,"industries":324,"functions":326,"patterns":327,"audience":72,"autonomy":156,"adoptionStage":73,"segment":329,"evidenceCount":137,"publicEvidenceCount":137,"organizations":330,"bestGrade":51,"headline":336,"lastVerified":61,"indexable":11},"insurance-pricing-and-actuarial-copilot","AI copilot for insurance pricing and actuarial analysis","Pricing and actuarial copilot","AI that speeds up the work of pricing and actuarial teams, from automated, transparent risk and demand model building to natural language analysis of rate filings, experience data and reserving diagnostics, while actuaries select the models, sign off the rates and own the professional judgment.",[325],"insurance",[309,225,208],[7,328,37,95],"code-generation","pricing",[331,332,333,334,335],"Accelerant Holdings","Europ Assistance","Generali France","Kinsale Capital Group","MAIF",{"kpi":234,"label":235,"unit":337,"n":56,"nUpTo":20,"kind":57,"value":137,"qualifier":122,"claimant":60,"organization":333,"vendorReported":10},"multiplier",{"slug":339,"title":340,"shortTitle":341,"definition":342,"status":30,"industries":343,"functions":344,"patterns":345,"audience":40,"autonomy":41,"adoptionStage":73,"segment":269,"evidenceCount":137,"publicEvidenceCount":137,"organizations":346,"bestGrade":51,"headline":101,"lastVerified":61,"indexable":11},"alternative-data-credit-scoring","AI credit scoring with alternative data for thin file applicants","Alternative data credit scoring","A machine learning credit model that adds consumer permissioned alternative data, such as bank account cash flow, rent, utility and telco payments or ecosystem data, to credit bureau data, so a lender can assess applicants with thin or no credit files and return a decision with specific reasons.",[89,90],[266,267,225],[7,113,135],[347,348,349,350,351],"Atlanticus","Golden 1 Credit Union","GXS Bank","Patelco Credit Union","Upstart Network",{"slug":353,"title":354,"shortTitle":355,"definition":356,"status":30,"industries":357,"functions":358,"patterns":359,"audience":72,"autonomy":156,"adoptionStage":73,"evidenceCount":23,"publicEvidenceCount":23,"organizations":360,"bestGrade":51,"headline":101,"lastVerified":102,"indexable":11},"airline-operations-control-decision-support","AI decision support for airline operations control and disruption recovery","Airline operations control","Decision support in an airline's operations control center that watches the day's operation, predicts where weather, delays, crew limits or technical problems will break the plan, and proposes recovery options across aircraft, crew and passengers, such as retiming flights, swapping aircraft or holding a connection, with the cost and passenger impact of each, for controllers to approve.",[307],[93],[7],[361,362],"American Airlines","Swiss International Air Lines",{"slug":364,"title":365,"shortTitle":366,"definition":367,"status":30,"industries":368,"functions":369,"patterns":370,"audience":40,"autonomy":41,"adoptionStage":193,"evidenceCount":138,"publicEvidenceCount":138,"organizations":371,"bestGrade":51,"headline":101,"lastVerified":102,"indexable":11},"retail-demand-forecasting-and-replenishment","AI demand forecasting and automated replenishment for retail","Demand forecasting and replenishment","Machine learning that forecasts demand for every item in every store or fulfillment center, day by day, from sales history, promotions, prices, weather and local events, and turns the forecast into automatic store and warehouse orders within limits set by planners, who handle the exceptions.",[244],[93,208],[7,38],[372,373,374,375],"Albert Heijn","Morrisons","One Stop","Walmart",{"slug":377,"title":378,"shortTitle":379,"definition":380,"status":30,"industries":381,"functions":382,"patterns":383,"audience":136,"autonomy":41,"adoptionStage":73,"segment":194,"evidenceCount":195,"publicEvidenceCount":44,"organizations":384,"bestGrade":51,"headline":101,"lastVerified":102,"indexable":11},"financial-wellbeing-coach","AI financial wellbeing coach in the banking app","Financial wellbeing coach","An in app AI assistant that the customer opens to understand their own money: it uses the customer's transaction data to explain their spending, forecast upcoming bills and cash flow, set and track savings goals and answer money questions in plain language, staying on the guidance side of the line between guidance and regulated financial advice.",[89],[132,153],[135,112,7,37],[197,198,385,386,387,388],"Hyundai Card","Royal Bank of Canada","Starling Bank","Westpac",{"slug":390,"title":391,"shortTitle":392,"definition":393,"status":30,"industries":394,"functions":395,"patterns":397,"audience":72,"autonomy":41,"adoptionStage":73,"segment":96,"evidenceCount":195,"publicEvidenceCount":195,"organizations":398,"bestGrade":51,"headline":407,"lastVerified":102,"indexable":11},"aml-alert-triage","AI for AML transaction monitoring alert triage","AML alert triage","Machine learning and AI agents that score anti money laundering alerts for genuine risk, close clear false positives with a written and stored rationale, and hand investigators the remaining alerts already enriched with the customer, counterparty and transaction context.",[89,90],[396],"financial-crime-compliance",[7,38,37,95],[399,400,401,402,403,404,405,406],"Australia Post","BMO and Amalgamated Bank","HSBC","Nexo","Ratepay","Shift4","United Overseas Bank (UOB)","Uphold",{"kpi":408,"label":409,"unit":55,"n":23,"nUpTo":20,"kind":57,"value":410,"qualifier":122,"claimant":183,"organization":404,"vendorReported":11},"false-positive-reduction","False positive reduction",86,{"slug":412,"title":413,"shortTitle":414,"definition":415,"status":30,"industries":416,"functions":417,"patterns":419,"audience":40,"autonomy":41,"adoptionStage":73,"segment":194,"evidenceCount":44,"publicEvidenceCount":44,"organizations":421,"bestGrade":51,"headline":427,"lastVerified":61,"indexable":11},"application-and-identity-fraud-detection","AI for application and identity fraud detection","Application and identity fraud","AI that checks incoming account and loan applications for forged or AI generated documents, synthetic and stolen identities, and coordinated application rings, by analysing documents, device and application data across the whole queue and cross checking against bureau and official sources.",[89,90,68,130,32],[92,418,266],"onboarding-and-kyc",[113,38,420,7],"computer-vision",[422,423,424,425,426,50],"BCU","Close Brothers Motor Finance","CNG Holdings","Department for Work and Pensions","Payoneer",{"kpi":428,"label":429,"unit":337,"n":56,"nUpTo":20,"kind":57,"value":430,"qualifier":122,"claimant":60,"organization":425,"vendorReported":10},"detection-rate-improvement","Detection improvement",2.5,{"slug":432,"title":433,"shortTitle":434,"definition":435,"status":30,"industries":436,"functions":437,"patterns":440,"audience":40,"autonomy":210,"adoptionStage":73,"evidenceCount":137,"publicEvidenceCount":137,"organizations":441,"bestGrade":51,"headline":446,"lastVerified":102,"indexable":11},"benefit-fraud-and-error-detection","AI for benefit fraud and error detection in social security","Benefit fraud and error detection","Risk models that help a social security or benefits agency decide which claims, payments and recipients to check for fraud or error, so that caseworkers verify the riskiest cases first, while every decision on entitlement stays with a person and the model is tested for fairness before and during use.",[130],[92,438,439],"citizen-services","case-management",[7,38],[442,425,443,444,445],"Centers for Medicare and Medicaid Services","Gemeente Rotterdam","U.S. Department of the Treasury, Bureau of the Fiscal Service","Uitvoeringsinstituut Werknemersverzekeringen (UWV)",{"kpi":428,"label":429,"unit":337,"n":56,"nUpTo":20,"kind":57,"value":430,"qualifier":122,"claimant":60,"organization":425,"vendorReported":10},{"slug":448,"title":449,"shortTitle":450,"definition":451,"status":30,"industries":452,"functions":454,"patterns":455,"audience":40,"autonomy":192,"adoptionStage":73,"segment":456,"evidenceCount":23,"publicEvidenceCount":23,"organizations":457,"bestGrade":77,"headline":460,"lastVerified":82,"indexable":11},"building-energy-optimization","AI for building HVAC and energy optimization","Building energy optimization","AI that continuously predicts a building's heating, cooling and ventilation needs and adjusts setpoints, equipment sequencing and start times in real time through the existing building management system, instead of following fixed schedules, so the building uses less energy without a person retuning it by hand.",[453,68],"real-estate",[93],[7],"hvac-optimization",[458,459],"Cammeby's International","Loyola University Chicago",{"kpi":461,"label":462,"unit":55,"n":23,"nUpTo":20,"kind":57,"value":463,"qualifier":122,"claimant":183,"organization":458,"vendorReported":11},"energy-savings","Energy savings",15.8,{"slug":465,"title":466,"shortTitle":467,"definition":468,"status":30,"industries":469,"functions":470,"patterns":472,"audience":40,"autonomy":41,"adoptionStage":73,"segment":471,"evidenceCount":157,"publicEvidenceCount":158,"organizations":473,"bestGrade":51,"headline":481,"lastVerified":61,"indexable":11},"claims-triage-and-straight-through-processing","AI for claims triage and straight through processing","Claims triage and STP","AI that reads each new insurance claim and its documents, scores its complexity, cover questions, fraud and recovery signals, sends it to the right handling path and handler, and settles simple, low risk claims end to end within set limits without a person touching them.",[325],[471,93],"claims",[39,7,113,37,95],[474,475,476,477,478,479,480],"Admiral Seguros","Allianz Partners","Hiscox","Lemonade","Sedgwick","Tokio Marine & Nichido Fire Insurance","Travelers",{"kpi":482,"label":483,"unit":55,"n":56,"nUpTo":56,"kind":57,"value":484,"qualifier":258,"claimant":60,"organization":477,"vendorReported":10},"automation-rate","Automation rate",55,{"slug":486,"title":487,"shortTitle":488,"definition":489,"status":30,"industries":490,"functions":491,"patterns":492,"audience":40,"autonomy":41,"adoptionStage":73,"segment":267,"evidenceCount":157,"publicEvidenceCount":157,"organizations":493,"bestGrade":51,"headline":501,"lastVerified":102,"indexable":11},"commercial-underwriting-submission-triage","AI for commercial underwriting submission intake and triage","Underwriting submission triage","AI that reads incoming broker submissions for commercial insurance (emails, applications, schedules of values, loss runs and supplements), extracts the risk data into a structured record, checks clearance and appetite, enriches the risk with internal and third party data and ranks it, so underwriters open a complete, prioritized file instead of an inbox.",[325],[267,93],[113,39,7,37],[494,495,496,497,476,334,498,499,500],"American International Group","AXIS Capital","CNA Financial","Generali Global Corporate & Commercial","Markel","Paragon Insurance Group","Skyward Specialty Insurance Group",{"kpi":502,"label":503,"unit":55,"n":56,"nUpTo":20,"kind":57,"value":504,"qualifier":258,"claimant":60,"organization":499,"vendorReported":10},"accuracy","Accuracy",98,{"slug":506,"title":507,"shortTitle":508,"definition":509,"status":30,"industries":510,"functions":511,"patterns":512,"audience":40,"autonomy":210,"adoptionStage":193,"segment":471,"evidenceCount":137,"publicEvidenceCount":137,"organizations":513,"bestGrade":51,"headline":101,"lastVerified":102,"indexable":11},"claims-fraud-detection","AI for insurance claims fraud detection","Claims fraud detection","AI that scores every insurance claim for fraud from first notice of loss onwards, combining claim, policy, document, image and network data to find suspicious claims, organised rings and inflated losses, and sends each alert with its reasons to a claims handler or special investigations unit for review.",[325],[471,92],[38,7,113,420,39],[514,515,516,477,479],"Assurant","AXA Switzerland","General Insurance Association of Singapore",{"slug":518,"title":519,"shortTitle":520,"definition":521,"status":30,"industries":522,"functions":523,"patterns":524,"audience":40,"autonomy":156,"adoptionStage":42,"segment":525,"evidenceCount":97,"publicEvidenceCount":97,"organizations":526,"bestGrade":51,"headline":101,"lastVerified":61,"indexable":11},"insurance-renewal-and-retention","AI for insurance renewal processing and customer retention","Renewal and retention","AI that prepares and runs the renewal cycle: it digitizes renewal submissions and changes in risk for underwriters, flags policies at risk of lapsing or leaving, prepares the renewal conversation and answers customers' renewal questions, while renewal prices stay governed by the insurer's pricing rules and fair value obligations.",[325],[267,132,152],[7,113,135,112],"distribution",[476,527,528],"Nsure.com","Zurich Insurance Group",{"slug":530,"title":531,"shortTitle":532,"definition":533,"status":30,"industries":534,"functions":535,"patterns":536,"audience":40,"autonomy":41,"adoptionStage":73,"evidenceCount":138,"publicEvidenceCount":138,"organizations":537,"bestGrade":51,"headline":542,"lastVerified":102,"indexable":11},"merchant-underwriting-and-risk-monitoring","AI for merchant underwriting and risk monitoring","Merchant underwriting and monitoring","AI that helps acquirers, payment facilitators and software platforms with embedded payments decide which merchants to accept and on what terms, by checking what a business really sells and how risky it is at onboarding, and then watches every active merchant for changes in behaviour, ranking the few that need an analyst so fraud, prohibited trade and credit losses are caught early.",[90,69,89],[418,92,225],[7,38,39,95,37],[538,539,540,541],"Airwallex","Tekmetric","Visa","Weave Communications",{"kpi":543,"label":544,"unit":55,"n":23,"nUpTo":20,"kind":57,"value":545,"qualifier":258,"claimant":183,"organization":541,"vendorReported":11},"alert-volume-reduction","Alert volume reduction",89,{"slug":547,"title":548,"shortTitle":549,"definition":550,"status":30,"industries":551,"functions":552,"patterns":553,"audience":72,"autonomy":41,"adoptionStage":73,"segment":43,"evidenceCount":137,"publicEvidenceCount":137,"organizations":554,"bestGrade":51,"headline":558,"lastVerified":102,"indexable":11},"network-planning-and-capacity-optimization","AI for mobile network planning and capacity optimization","Network planning and capacity","Machine learning that forecasts where and when a mobile network will run out of capacity, recommends where to add cells, spectrum or hardware, and continuously tunes radio parameters so existing capacity carries more traffic, with planners approving investments and major changes.",[32],[34,208],[7,112,38,37],[46,555,49,556,557],"NTT DOCOMO","Telefónica España","Vodafone",{"kpi":53,"label":54,"unit":55,"n":56,"nUpTo":20,"kind":57,"value":58,"qualifier":59,"claimant":60,"organization":46,"vendorReported":10},{"slug":560,"title":561,"shortTitle":562,"definition":563,"status":30,"industries":564,"functions":565,"patterns":566,"audience":40,"autonomy":156,"adoptionStage":73,"segment":96,"evidenceCount":97,"publicEvidenceCount":97,"organizations":567,"bestGrade":51,"headline":101,"lastVerified":102,"indexable":11},"mule-network-detection","AI for money mule account and network detection","Mule network detection","Graph and behavioural machine learning that finds money mule accounts and the networks around them, such as circular flows, layering chains and clusters of newly linked accounts, and supports investigators in tracing scam proceeds and restricting accounts before the money is gone.",[89,90],[92,396],[38,7,37,95],[568,569,570],"BigPay","ANZ, Commonwealth Bank, NAB, Suncorp Bank and Westpac (BioCatch Trust Australia)","Reserve Bank Innovation Hub (Reserve Bank of India)",{"slug":572,"title":573,"shortTitle":574,"definition":575,"status":30,"industries":576,"functions":577,"patterns":578,"audience":136,"autonomy":41,"adoptionStage":73,"segment":471,"evidenceCount":137,"publicEvidenceCount":137,"organizations":579,"bestGrade":77,"headline":101,"lastVerified":102,"indexable":11},"photo-based-damage-assessment","AI for photo based damage assessment in insurance claims","Photo damage assessment","Computer vision that assesses damage from photos or video of a vehicle or property taken by the policyholder, a repairer or an adjuster, identifies the damaged parts and the repair or replace decision, produces or checks the repair estimate, and flags total losses and inconsistencies for a person to review.",[325],[471],[420,7,37],[474,580,581,582,479],"Covéa","Foyer","PZU",{"slug":584,"title":585,"shortTitle":586,"definition":587,"status":30,"industries":588,"functions":589,"patterns":590,"audience":40,"autonomy":41,"adoptionStage":73,"segment":43,"evidenceCount":44,"publicEvidenceCount":44,"organizations":591,"bestGrade":51,"headline":101,"lastVerified":102,"indexable":11},"predictive-network-maintenance","AI for predictive network maintenance in telecom","Predictive network maintenance","Machine learning that spots the early signs of network failure, such as degrading cells, faulty customer equipment, ageing hardware or planned digging near fibre, and triggers a preventive fix, a remote reset or a targeted intervention before customers lose service.",[32],[34,296,93],[38,7,37],[48,592,556,50,593,557],"Orange","Verizon",{"slug":595,"title":596,"shortTitle":597,"definition":598,"status":30,"industries":599,"functions":600,"patterns":601,"audience":40,"autonomy":192,"adoptionStage":73,"segment":43,"evidenceCount":137,"publicEvidenceCount":137,"organizations":602,"bestGrade":51,"headline":608,"lastVerified":102,"indexable":11},"ran-energy-optimization","AI for radio access network energy optimization","RAN energy optimization","Machine learning that predicts traffic per cell and puts radio carriers, cells and hardware components into sleep modes when demand is low, then wakes them before users notice, so a mobile network uses less electricity without losing coverage or quality.",[32],[34],[7],[603,604,605,606,607],"BT Group","Indosat Ooredoo Hutchison","O2 Telefónica Germany","Safaricom","Telefónica",{"kpi":461,"label":462,"unit":55,"n":20,"nUpTo":56,"kind":57,"value":195,"qualifier":237,"claimant":60,"organization":607,"vendorReported":10},{"slug":610,"title":611,"shortTitle":612,"definition":613,"status":30,"industries":614,"functions":615,"patterns":617,"audience":136,"autonomy":156,"adoptionStage":73,"evidenceCount":137,"publicEvidenceCount":137,"organizations":618,"bestGrade":51,"headline":624,"lastVerified":102,"indexable":11},"recruitment-screening-and-interview-scheduling","AI for recruitment screening and interview scheduling","Recruitment screening and scheduling","AI that answers candidates' questions, collects applications in conversation, schedules interviews and, where the organization chooses, assesses applications against the job requirements for a recruiter, who makes every selection decision. In the EU, the screening part is a high risk AI system under Annex III point 4 of the AI Act.",[68,130,307,150],[616],"human-resources",[135,39,7,37],[619,620,621,622,623],"Chipotle Mexican Grill","Gojob","U.S. Immigration and Customs Enforcement","Mastercard","Trace3",{"kpi":53,"label":54,"unit":55,"n":56,"nUpTo":20,"kind":57,"value":257,"qualifier":258,"claimant":60,"organization":622,"vendorReported":10},{"slug":626,"title":627,"shortTitle":628,"definition":629,"status":30,"industries":630,"functions":631,"patterns":633,"audience":72,"autonomy":210,"adoptionStage":73,"evidenceCount":44,"publicEvidenceCount":44,"organizations":634,"bestGrade":51,"headline":101,"lastVerified":102,"indexable":11},"inspection-prioritization","AI for risk based inspection prioritization in food safety, workplace and environmental regulation","Inspection prioritization","Models that predict which premises, operators or activities are most likely to be non compliant, so that inspectors in food safety, workplace safety, environmental and other regulation spend their visits where the risk is highest, ideally with inspectors choosing the visits and random inspections testing the model.",[130],[225,439,632],"regulatory-compliance",[7,38],[635,636,637,638,639,640],"Care Quality Commission","Driver and Vehicle Standards Agency","U.S. Environmental Protection Agency, Office of Enforcement and Compliance Assurance","Food Standards Agency","Nederlandse Arbeidsinspectie","Nederlandse Voedsel- en Warenautoriteit (NVWA)",{"slug":642,"title":643,"shortTitle":644,"definition":645,"status":30,"industries":646,"functions":647,"patterns":648,"audience":40,"autonomy":41,"adoptionStage":73,"segment":96,"evidenceCount":158,"publicEvidenceCount":158,"organizations":649,"bestGrade":51,"headline":654,"lastVerified":61,"indexable":11},"sanctions-screening-adjudication","AI for sanctions screening alert adjudication","Sanctions screening adjudication","AI that works the alerts raised when customer, counterparty or payment names match sanctions and watchlists: it resolves fuzzy matches across transliterations, aliases and naming conventions, clears clear non matches with a documented reason, and escalates true or uncertain hits with the evidence attached.",[89,90],[396],[39,7,37],[650,651,401,652,403,653,405],"AJ Bell","First National Bank of Omaha (FNBO)","Mashreq","Standard Chartered",{"kpi":408,"label":409,"unit":55,"n":56,"nUpTo":20,"kind":57,"value":18,"qualifier":122,"claimant":60,"organization":405,"vendorReported":10},{"slug":656,"title":657,"shortTitle":658,"definition":659,"status":30,"industries":660,"functions":661,"patterns":662,"audience":40,"autonomy":156,"adoptionStage":73,"segment":40,"evidenceCount":138,"publicEvidenceCount":138,"organizations":663,"bestGrade":51,"headline":101,"lastVerified":102,"indexable":11},"settlement-fail-prediction-and-exception-management","AI for settlement fail prediction and post trade exception management","Settlement fail prediction","AI that scores each pending securities settlement instruction for its likelihood of failing, names the probable cause (unmatched instruction, wrong settlement details, lack of securities or cash), and helps operations teams work the exceptions and counterparty queries before the intended settlement date, so fewer trades fail and fewer late settlement penalties are paid.",[221,89,222],[93,225],[7,39,37,155],[664,665,666],"BNY","Clearstream","Euroclear",{"slug":668,"title":669,"shortTitle":670,"definition":671,"status":30,"industries":672,"functions":673,"patterns":675,"audience":40,"autonomy":210,"adoptionStage":73,"segment":471,"evidenceCount":138,"publicEvidenceCount":23,"organizations":676,"bestGrade":51,"headline":101,"lastVerified":102,"indexable":11},"subrogation-opportunity-detection","AI for subrogation opportunity detection","Subrogation detection","AI that reads open and closed claims to find cases where a third party is wholly or partly liable, estimates liability and the recoverable amount under the applicable negligence and recovery rules, and sends scored recovery opportunities with their reasons to the subrogation team.",[325],[471,674],"collections-and-recovery",[39,7,113,95],[677,678],"Central Insurance","Elephant Insurance",{"slug":680,"title":681,"shortTitle":682,"definition":683,"status":30,"industries":684,"functions":685,"patterns":686,"audience":40,"autonomy":210,"adoptionStage":73,"evidenceCount":97,"publicEvidenceCount":97,"organizations":687,"bestGrade":51,"headline":101,"lastVerified":102,"indexable":11},"tax-compliance-risk-scoring","AI for tax compliance risk scoring and audit selection","Tax compliance risk scoring","Models that score tax returns, taxpayers and transactions for the risk of error, underreporting or fraud, so that a tax administration spends its audit and compliance capacity where the risk is highest, with an officer deciding every compliance action and the selection itself monitored for fairness.",[130],[225,439,92],[7,38],[688,689,690],"Belastingdienst","HM Revenue and Customs","Internal Revenue Service",{"slug":692,"title":693,"shortTitle":694,"definition":695,"status":30,"industries":696,"functions":697,"patterns":698,"audience":40,"autonomy":41,"adoptionStage":193,"segment":96,"evidenceCount":138,"publicEvidenceCount":138,"organizations":699,"bestGrade":51,"headline":704,"lastVerified":102,"indexable":11},"churn-prediction-and-retention-offers","AI for telecom churn prediction and retention offers","Churn prediction and retention","AI for telecom operators that scores each subscriber's risk of leaving from usage, service, billing and contact signals, explains the likely reason, and chooses the next best retention action, such as fixing a problem, adjusting a plan or making an offer, delivered through the app, messaging, an agent or an advisor within approved offer budgets.",[32],[153,132,152,208],[7,112,135],[700,701,702,703],"Etisalat","Telenet","Virgin Media O2","Vodafone UK",{"kpi":705,"label":706,"unit":55,"n":23,"nUpTo":20,"kind":57,"value":707,"qualifier":122,"claimant":183,"organization":701,"vendorReported":11},"churn-reduction","Churn reduction",20,{"slug":709,"title":710,"shortTitle":711,"definition":712,"status":30,"industries":713,"functions":714,"patterns":716,"audience":40,"autonomy":41,"adoptionStage":73,"segment":717,"evidenceCount":138,"publicEvidenceCount":138,"organizations":718,"bestGrade":51,"headline":719,"lastVerified":102,"indexable":11},"telecom-fraud-detection","AI for telecom fraud detection (SIM swap, IRSF and Wangiri)","Telecom fraud detection","AI that protects the operator's own network, revenue and numbers from fraud: it watches call, messaging, roaming and account activity to detect SIM swap and port out takeovers, international revenue share fraud (IRSF) and Wangiri one ring scams, blocks or flags them in real time, and shares risk signals with banks and other businesses that rely on the phone number for security. Scam calls aimed at subscribers are handled by call blocking.",[32],[92,34,715],"security-operations",[38,7,39],"customer-protection",[50,557],{"kpi":428,"label":429,"unit":55,"n":56,"nUpTo":20,"kind":57,"value":182,"qualifier":122,"claimant":60,"organization":557,"vendorReported":10},{"slug":721,"title":722,"shortTitle":723,"definition":724,"status":30,"industries":725,"functions":726,"patterns":727,"audience":72,"autonomy":210,"adoptionStage":73,"evidenceCount":138,"publicEvidenceCount":138,"organizations":728,"bestGrade":51,"headline":101,"lastVerified":102,"indexable":11},"internal-talent-marketplace-matching","AI internal talent marketplace for matching employees to projects, roles and mentors","Internal talent marketplace","An internal platform that uses AI to infer employees' skills and interests and recommend short term projects, open roles, mentors and learning to them, while showing managers which employees fit an opportunity, so that work is staffed from inside before hiring or contracting externally.",[68,245,90,130],[616],[112,7],[729,622,730,731],"Federal Bureau of Prisons","Schneider Electric","Unilever",{"slug":733,"title":734,"shortTitle":735,"definition":736,"status":30,"industries":737,"functions":739,"patterns":740,"audience":40,"autonomy":41,"adoptionStage":193,"evidenceCount":195,"publicEvidenceCount":158,"organizations":741,"bestGrade":51,"headline":748,"lastVerified":102,"indexable":11},"personalized-marketing-at-scale","AI marketing personalization at scale","Marketing personalization at scale","AI that runs marketing campaigns at the level of the individual: it decides for each customer which product, offer, message or content to show next across email, app, web and paid media, and generates the matching copy and creative variants within brand and compliance rules. It is the marketing team's engine across many campaigns and channels, not an agent that converses with the customer.",[68,307,738,244,89],"media-and-entertainment",[153,152],[112,7,155],[742,743,198,744,745,746,747],"Amazon","Catchtable","Radisson Hotel Group","Square Enix","Swarovski","Virgin Voyages",{"kpi":120,"label":121,"unit":55,"n":56,"nUpTo":20,"kind":57,"value":182,"qualifier":122,"claimant":183,"organization":743,"vendorReported":11},{"slug":750,"title":751,"shortTitle":752,"definition":753,"status":30,"industries":754,"functions":756,"patterns":757,"audience":72,"autonomy":156,"adoptionStage":73,"segment":758,"evidenceCount":23,"publicEvidenceCount":23,"organizations":759,"bestGrade":51,"headline":762,"lastVerified":82,"indexable":11},"ai-drug-discovery-platform","AI native platform for drug target discovery and molecule design","AI drug discovery platform","An AI native research platform that prioritizes disease targets from biological data, generates and optimizes candidate drug molecules computationally, and predicts their properties before a chemist synthesizes and tests them, so a pharmaceutical or biotech company reaches a validated preclinical candidate with far fewer molecules made and tested than a conventional medicinal chemistry program.",[755],"pharma-and-life-sciences",[93,208],[7,155],"drug discovery",[760,761],"Insilico Medicine","Recursion Pharmaceuticals",{"kpi":53,"label":54,"unit":55,"n":23,"nUpTo":20,"kind":57,"value":18,"qualifier":258,"claimant":60,"organization":760,"vendorReported":10},{"slug":764,"title":765,"shortTitle":766,"definition":767,"status":30,"industries":768,"functions":769,"patterns":770,"audience":72,"autonomy":210,"adoptionStage":73,"segment":194,"evidenceCount":137,"publicEvidenceCount":137,"organizations":771,"bestGrade":51,"headline":776,"lastVerified":102,"indexable":11},"next-best-action-for-advisors","AI next best action prompts for wealth advisors","Advisor next best action","An AI engine for wealth advisors, not customers, that scans an advisor's whole book and surfaces a short, ranked list of client specific prompts, such as idle cash, a maturing deposit, a concentration to review, a life event or an early sign of attrition, each with the reasoning and data behind it, for the advisor to act on or dismiss.",[222,89],[152,153,208],[112,7,155],[772,773,254,774,775],"CIMB Niaga","Citi","Morgan Stanley","UBS",{"kpi":777,"label":778,"unit":55,"n":56,"nUpTo":20,"kind":57,"value":236,"qualifier":122,"claimant":60,"organization":775,"vendorReported":10},"employee-adoption","Employee adoption",{"slug":780,"title":781,"shortTitle":782,"definition":783,"status":30,"industries":784,"functions":785,"patterns":786,"audience":40,"autonomy":156,"adoptionStage":42,"segment":96,"evidenceCount":138,"publicEvidenceCount":97,"organizations":787,"bestGrade":51,"headline":101,"lastVerified":102,"indexable":11},"portfolio-drift-monitoring-and-rebalancing","AI portfolio drift monitoring and rebalancing proposals","Drift and rebalancing","Continuous monitoring of every client portfolio against its mandate or model, which detects drift beyond agreed bands and prepares a tax aware, low turnover rebalancing proposal with its rationale for an advisor or portfolio manager to approve before any trade is placed.",[222,89],[93,225,208],[38,37,7,155],[774,788,789],"SimCorp","Vanguard",{"slug":791,"title":792,"shortTitle":793,"definition":794,"status":30,"industries":795,"functions":796,"patterns":797,"audience":72,"autonomy":210,"adoptionStage":73,"segment":798,"evidenceCount":23,"publicEvidenceCount":23,"organizations":799,"bestGrade":51,"headline":101,"lastVerified":82,"indexable":11},"freight-rail-rolling-stock-predictive-maintenance","AI predictive maintenance for freight rail rolling stock","Rail rolling stock predictive maintenance","Machine vision and machine learning that inspect freight railcar wheels, bearings and other running gear as trains pass wayside sensors and camera portals at track speed, learn what a healthy wheel or a healthy reading looks like, and flag the ones that need attention before a crack, an overheating bearing or a worn wheel causes a service failure or a derailment.",[109],[93,296],[420,38,7],"mechanical-and-safety",[800,801],"BNSF Railway","Norfolk Southern",{"slug":803,"title":804,"shortTitle":805,"definition":806,"status":30,"industries":807,"functions":808,"patterns":809,"audience":72,"autonomy":210,"adoptionStage":73,"segment":810,"evidenceCount":97,"publicEvidenceCount":97,"organizations":811,"bestGrade":51,"headline":101,"lastVerified":102,"indexable":11},"industrial-asset-predictive-maintenance","AI predictive maintenance for industrial and energy assets","Industrial predictive maintenance","Machine learning that learns the normal behaviour of industrial and energy equipment from sensor and process data, flags early signs of degradation weeks or months before a failure, and turns them into prioritised maintenance work, so plants and utilities plan repairs instead of reacting to breakdowns.",[206,245],[93,296],[38,7],"asset-management",[812,813,814],"Duke Energy","Georgia-Pacific","Shell",{"slug":816,"title":817,"shortTitle":818,"definition":819,"status":30,"industries":820,"functions":821,"patterns":822,"audience":40,"autonomy":192,"adoptionStage":193,"segment":823,"evidenceCount":23,"publicEvidenceCount":23,"organizations":824,"bestGrade":51,"headline":101,"lastVerified":82,"indexable":11},"content-recommendation-and-personalization","AI recommendation and personalization engine for streaming and media","Content recommendation and personalization","A recommendation system that decides, for each individual viewer or listener, what to show next on a home page, in search or in a personalized playlist, learned from that person's own viewing or listening history, ratings and context, and continuously updated as new content is added and behavior changes. It ranks the catalog's own content; it is not the marketing engine that decides which offers or campaigns to send, which is a separate use case in this library.",[738],[153,208],[112,7],"content discovery",[825,826],"Netflix, Inc.","Spotify",{"slug":828,"title":829,"shortTitle":830,"definition":831,"status":30,"industries":832,"functions":833,"patterns":834,"audience":136,"autonomy":41,"adoptionStage":73,"segment":194,"evidenceCount":44,"publicEvidenceCount":44,"organizations":835,"bestGrade":51,"headline":837,"lastVerified":61,"indexable":11},"scam-payment-interception","AI scam intervention for instant payments","Scam payment interception","AI that talks to the customer when they are about to authorise an instant payment that looks like a scam: it combines the payee check and the risk score, asks targeted questions about the payment in plain language, explains the specific scam pattern, and holds, delays or escalates the payment to a human specialist when the risk stays high. Unlike fraud scoring, which stops payments the customer did not make, it protects customers from payments they are being manipulated into making.",[89,90],[92,132],[135,7,37,134],[198,622,836,387,557,388],"Revolut",{"kpi":428,"label":429,"unit":55,"n":23,"nUpTo":20,"kind":57,"value":838,"qualifier":122,"claimant":183,"organization":387,"vendorReported":11},300,{"slug":840,"title":841,"shortTitle":842,"definition":843,"status":30,"industries":844,"functions":846,"patterns":847,"audience":40,"autonomy":41,"adoptionStage":193,"evidenceCount":97,"publicEvidenceCount":97,"organizations":848,"bestGrade":51,"headline":101,"lastVerified":102,"indexable":11},"automated-scoring-of-written-responses","AI scoring of essays and written answers in assessments","Essay and written answer scoring","AI that scores students' essays and short written answers against a rubric, trained on responses scored by human raters, with human raters rescoring a sample of responses and every response the engine is unsure about. In hybrid programmes such as Texas, a human score is the score of record whenever a human scores a response.",[845,130],"education",[93],[39,7],[849,850,851],"ETS","Massachusetts Department of Elementary and Secondary Education","Texas Education Agency",{"slug":853,"title":854,"shortTitle":855,"definition":856,"status":30,"industries":857,"functions":858,"patterns":859,"audience":136,"autonomy":192,"adoptionStage":193,"segment":717,"evidenceCount":137,"publicEvidenceCount":137,"organizations":860,"bestGrade":51,"headline":101,"lastVerified":61,"indexable":11},"spam-and-scam-call-blocking","AI spam and scam call blocking for mobile and landline subscribers","Spam and scam call blocking","AI in the operator's network that protects subscribers from unwanted calls: it analyses incoming calls in real time, blocks known fraudulent calls, and labels suspected scam, spam and spoofed calls on the customer's screen before they answer, so subscribers can decide whether to pick up. 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